collin: Visualization the Effects of Collinearity in Distributed Lag
Models and Other Linear Models
Tool to assessing whether the results of a study could be influenced by
collinearity. Simulations under a given hypothesized truth regarding effects of an
exposure on the outcome are used and the resulting curves of lagged effects are
visualized. A user's manual is provided, which includes detailed examples (e.g. a
cohort study looking for windows of vulnerability to air pollution, a time series
study examining the linear association of air pollution with hospital admissions,
and a time series study examining the non-linear association between temperature and
mortality). The methods are described in Basagana and Barrera-Gomez (2021) <doi:10.1093/ije/dyab179>.
| Version: |
0.0.2 |
| Depends: |
R (≥ 4.1) |
| Imports: |
dlnm, graphics, grDevices, MASS, mgcv, nlme, stats, utils, VGAM |
| Suggests: |
knitr, rmarkdown, splines, xtable |
| Published: |
2022-02-22 |
| Author: |
Jose Barrera-Gomez
 [aut, cre],
Xavier Basagana
[aut] |
| Maintainer: |
Jose Barrera-Gomez <jose.barrera at isglobal.org> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Citation: |
collin citation info |
| Materials: |
NEWS |
| CRAN checks: |
collin results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=collin
to link to this page.